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DBMS > Oracle Berkeley DB vs. SpaceTime vs. Spark SQL vs. SWC-DB vs. TDengine

System Properties Comparison Oracle Berkeley DB vs. SpaceTime vs. Spark SQL vs. SWC-DB vs. TDengine

Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonSpaceTime  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionWidely used in-process key-value storeSpaceTime is a spatio-temporal DBMS with a focus on performance.Spark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMSTime Series DBMS and big data platform
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Spatial DBMSRelational DBMSWide column storeTime Series DBMS
Secondary database modelsRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.mireo.com/­spacetimespark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.com
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleMireoApache Software FoundationAlex KashirinTDEngine, previously Taos Data
Initial release19942020201420202019
Current release18.1.40, May 20203.5.0 ( 2.13), September 20230.5, April 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infocommercial license availablecommercialOpen Source infoApache 2.0Open Source infoGPL V3Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++ScalaC++C
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxLinux
OS X
Windows
LinuxLinux
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infoonly with the Berkeley DB XML editionnononono
Secondary indexesyesnonono
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availableA subset of ANSI SQL is implementedSQL-like DML and DDL statementsSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Proprietary protocol
Thrift
JDBC
RESTful HTTP API
Supported programming languages.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C#
C++
Python
Java
Python
R
Scala
C++C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonononono
Triggersyes infoonly for the SQL APInononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneFixed-grid hypercubesyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationReal-time block device replication (DRBD)noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlnoyesnoyes
More information provided by the system vendor
Oracle Berkeley DBSpaceTimeSpark SQLSWC-DB infoSuper Wide Column DatabaseTDengine
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Oracle Berkeley DBSpaceTimeSpark SQLSWC-DB infoSuper Wide Column DatabaseTDengine
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